所詮表示のことなので「他愛もない」ことではあるんだけども、対話モードでのお試しで結構ストレスになる…。ndarray 印字の自動折り返しの件。
1 >>> import numpy as np
2 >>> np.get_printoptions()["linewidth"]
3 75
4 >>> a = np.full((10, 10), np.nan)
5 >>> for i in range(5, 1, -1):
6 ... a[i:4 + i, i:4 + i] = i
7 ...
8 >>> a
9 array([[ nan, nan, nan, nan, nan, nan, nan, nan, nan, nan],
10 [ nan, nan, nan, nan, nan, nan, nan, nan, nan, nan],
11 [ nan, nan, 2., 2., 2., 2., nan, nan, nan, nan],
12 [ nan, nan, 2., 2., 2., 2., 3., nan, nan, nan],
13 [ nan, nan, 2., 2., 2., 2., 3., 4., nan, nan],
14 [ nan, nan, 2., 2., 2., 2., 3., 4., 5., nan],
15 [ nan, nan, nan, 3., 3., 3., 3., 4., 5., nan],
16 [ nan, nan, nan, nan, 4., 4., 4., 4., 5., nan],
17 [ nan, nan, nan, nan, nan, 5., 5., 5., 5., nan],
18 [ nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]])
19 >>> np.isnan(a)
20 array([[ True, True, True, True, True, True, True, True, True,
21 True],
22 [ True, True, True, True, True, True, True, True, True,
23 True],
24 [ True, True, False, False, False, False, True, True, True,
25 True],
26 [ True, True, False, False, False, False, False, True, True,
27 True],
28 [ True, True, False, False, False, False, False, False, True,
29 True],
30 [ True, True, False, False, False, False, False, False, False,
31 True],
32 [ True, True, True, False, False, False, False, False, False,
33 True],
34 [ True, True, True, True, False, False, False, False, False,
35 True],
36 [ True, True, True, True, True, False, False, False, False,
37 True],
38 [ True, True, True, True, True, True, True, True, True,
39 True]], dtype=bool)
40 >>> np.set_printoptions(linewidth=200)
41 >>> np.isnan(a)
42 array([[ True, True, True, True, True, True, True, True, True, True],
43 [ True, True, True, True, True, True, True, True, True, True],
44 [ True, True, False, False, False, False, True, True, True, True],
45 [ True, True, False, False, False, False, False, True, True, True],
46 [ True, True, False, False, False, False, False, False, True, True],
47 [ True, True, False, False, False, False, False, False, False, True],
48 [ True, True, True, False, False, False, False, False, False, True],
49 [ True, True, True, True, False, False, False, False, False, True],
50 [ True, True, True, True, True, False, False, False, False, True],
51 [ True, True, True, True, True, True, True, True, True, True]], dtype=bool)
別解、というか、「表示の有効桁数を削るだけでもいい」なら、
1 >>> import numpy as np
2 >>> np.get_printoptions()["precision"]
3 8
4 >>> a = np.full((10, 10), np.nan)
5 >>> for i in range(5, 1, -1):
6 ... a[i:4 + i, i:4 + i] = np.sin(i)
7 ...
8 >>> a
9 array([[ nan, nan, nan, nan, nan,
10 nan, nan, nan, nan, nan],
11 [ nan, nan, nan, nan, nan,
12 nan, nan, nan, nan, nan],
13 [ nan, nan, 0.90929743, 0.90929743, 0.90929743,
14 0.90929743, nan, nan, nan, nan],
15 [ nan, nan, 0.90929743, 0.90929743, 0.90929743,
16 0.90929743, 0.14112001, nan, nan, nan],
17 [ nan, nan, 0.90929743, 0.90929743, 0.90929743,
18 0.90929743, 0.14112001, -0.7568025 , nan, nan],
19 [ nan, nan, 0.90929743, 0.90929743, 0.90929743,
20 0.90929743, 0.14112001, -0.7568025 , -0.95892427, nan],
21 [ nan, nan, nan, 0.14112001, 0.14112001,
22 0.14112001, 0.14112001, -0.7568025 , -0.95892427, nan],
23 [ nan, nan, nan, nan, -0.7568025 ,
24 -0.7568025 , -0.7568025 , -0.7568025 , -0.95892427, nan],
25 [ nan, nan, nan, nan, nan,
26 -0.95892427, -0.95892427, -0.95892427, -0.95892427, nan],
27 [ nan, nan, nan, nan, nan,
28 nan, nan, nan, nan, nan]])
29 >>> np.set_printoptions(precision=1)
30 >>> a
31 array([[ nan, nan, nan, nan, nan, nan, nan, nan, nan, nan],
32 [ nan, nan, nan, nan, nan, nan, nan, nan, nan, nan],
33 [ nan, nan, 0.9, 0.9, 0.9, 0.9, nan, nan, nan, nan],
34 [ nan, nan, 0.9, 0.9, 0.9, 0.9, 0.1, nan, nan, nan],
35 [ nan, nan, 0.9, 0.9, 0.9, 0.9, 0.1, -0.8, nan, nan],
36 [ nan, nan, 0.9, 0.9, 0.9, 0.9, 0.1, -0.8, -1. , nan],
37 [ nan, nan, nan, 0.1, 0.1, 0.1, 0.1, -0.8, -1. , nan],
38 [ nan, nan, nan, nan, -0.8, -0.8, -0.8, -0.8, -1. , nan],
39 [ nan, nan, nan, nan, nan, -1. , -1. , -1. , -1. , nan],
40 [ nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]])
なお、この表示で「非数値文字列」となるのが、非数NaNと無限大infの2つだが、この「nan」「inf」という文字列を変更することも出来る。出来るけどやってみせない。この一連の流れでわかるはず。
それよりも、「全部見たいのに! / 全部なんか見たくないのに! / もっと見たいのに!」の制御の方がやりたいこと多いんじゃないかな。同じ set_printoptions では、こちらのほうが良くお世話になる。
1 >>> import numpy as np
2 >>> np.set_printoptions(linewidth=200)
3 >>> a = np.arange(1001)
4 >>> a
5 array([ 0, 1, 2, ..., 998, 999, 1000])
6 >>> np.get_printoptions()['edgeitems']
7 3
8 >>> np.set_printoptions(edgeitems=5)
9 >>> a
10 array([ 0, 1, 2, 3, 4, ..., 996, 997, 998, 999, 1000])
11 >>> np.get_printoptions()['threshold']
12 1000
13 >>> np.set_printoptions(threshold=1001)
14 >>> a
15 array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10,
16 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21,
17 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32,
18 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43,
19 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54,
20 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65,
21 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76,
22 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87,
23 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
24 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109,
25 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120,
26 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131,
27 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142,
28 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153,
29 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164,
30 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175,
31 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186,
32 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197,
33 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208,
34 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219,
35 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230,
36 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241,
37 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252,
38 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263,
39 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274,
40 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285,
41 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296,
42 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307,
43 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318,
44 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329,
45 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340,
46 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351,
47 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362,
48 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373,
49 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384,
50 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395,
51 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406,
52 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417,
53 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428,
54 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439,
55 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450,
56 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461,
57 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472,
58 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483,
59 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494,
60 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505,
61 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516,
62 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527,
63 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538,
64 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549,
65 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560,
66 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571,
67 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582,
68 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593,
69 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604,
70 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615,
71 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626,
72 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637,
73 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648,
74 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659,
75 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670,
76 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681,
77 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692,
78 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703,
79 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714,
80 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725,
81 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736,
82 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747,
83 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758,
84 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769,
85 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780,
86 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791,
87 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802,
88 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813,
89 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824,
90 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835,
91 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846,
92 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857,
93 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868,
94 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879,
95 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890,
96 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901,
97 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912,
98 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923,
99 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934,
100 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945,
101 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956,
102 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967,
103 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978,
104 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989,
105 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000])
というか、しばらくやってなかったらすっかり忘れてたので、個人的備忘録なのであった。をしまい。
